Analysis Of User Throughput Based Predictive Mobility Load Balancing Using Logarithmic Regression Of Reference Signal Received Quality In Long Term Evolution Radio Access Network
Journal Title: Jurnal INFOTEL - Year 2018, Vol 10, Issue 1
Abstract
The improvement of Long Term Evolution (LTE) radio access network services is affecting the increased value of traffic load in its network, which is causing traffic unbalance between cells in LTE Radio Access Network (RAN). Users will be served with ineffective resource block allocation which will make the total of gained throughput are not optimal. A method is required to move network load from overloaded cells to underloaded cells in order to balance the resource block allocation optimally. By using NS-3.26 simulation, User Throughput Based (UTB) predictive Mobility Load Balancing (MLB) method is tested with RandomWalkMobilityModel for each user. This method produces an improvement of 2,29 % in average of total throughput of 63,33 % successful optimization.
Authors and Affiliations
Achmad Rizal Danisya, Rendy Munadi, Sofia Naning Hertiana
Keywords
Related Articles
- EP ID EP469608
- DOI 10.20895/infotel.v10i1.350
- Views 104
- Downloads 0
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